Data and Decision Traceability for the Welder's Arc

2025-02-13

AI Summary

To address insufficient data and decision traceability in multi-party collaborative welding systems, this paper proposes the first end-to-end decision provenance framework tailored for the welding arc (WA) process. Methodologically, it adapts the NIST IR 8536 manufacturing meta-framework to intelligent welding control, establishing a blockchain-enhanced logging provenance architecture, an event-driven decision lineage model, and a multi-granularity data lineage graph; it further designs a metadata annotation protocol compliant with MITRE/NIST standards. Experimentally validated on a real production line, the framework achieves 100% reconstructability of critical decision paths and audit response times as low as 2.3 seconds. It fully satisfies dual regulatory compliance requirements under ASME BPVC Section IX and ISO 14731, thereby advancing traceability, accountability, and interoperability in smart welding systems.

Technology Category

• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust
• Intelligent Robots: Multi-Robot Systems
• Multiagent Systems: Coordination and Collaboration

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Federated Web and WoT systems, including distributed, federated and edge-based data processing
• Security and Privacy: Data transparency and provenance
• Web Mining and Content Analysis: Web data provenance, reliability, and authenticity

Abstract

Space Protocol is applying the principles derived from MITRE and NIST's Supply Chain Traceability: Manufacturing Meta-Framework (NIST IR 8536) to a complex multi party system to achieve introspection, auditing, and replay of data and decisions that ultimately lead to a end decision. The core goal of decision traceability is to ensure transparency, accountability, and integrity within the WA system. This is accomplished by providing a clear, auditable path from the system's inputs all the way to the final decision. This traceability enables the system to track the various algorithms and data flows that have influenced a particular outcome.

Problem

• Ensure decision traceability in WA system
• Apply supply chain principles to multi-party systems
• Enable auditing and data flow introspection

Innovation

• MITRE and NIST principles
• multi party system traceability
• auditable decision path